Question: Consider random variables X and Y that are jointly…
Consider random variables X and Y that are jointly distributed based on the joint probability distribution function f(x, y) with 0 ≤ f(x, y) ≤ 1 and P x∈X P y∈Y f(x, y) = 1 for any x ∈ X and any y ∈ Y . Using the definitions for expected values and co-variances of of jointly-distributed random variables show that:
(a) Cov(aX, bY ) = abCov(X, Y )
(b) Cov(X, Y + Z) = Cov(X, Y ) + Cov(X, Z)
(c) V ar(aX + bY ) = a2V ar(X) + b 2V ar(Y ) + 2abCov(X, Y )
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